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MCP Code Checker
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MCP Code Checker

The MCP Code Checker Server provides code quality checking functions, including Pylint and Pytest checks, and supports AI assistants to analyze code issues and generate repair suggestions.
Developer toolsArtificial intelligence chatbots#Code Checking#Quality Analysis#AI Collaboration#Testing Tools.Python
2.5 points
10.3K
Open Site

Overview

Installation

Content Details

Alternatives

What is the MCP Code Checker?

The MCP Code Checker is a secure and efficient tool for performing code quality checks. It allows AI assistants to identify and fix issues in the code through natural language descriptions, thereby improving development efficiency.

How to use the MCP Code Checker?

Simply set the project directory and start the server to begin running Pylint and Pytest checks. The AI assistant will generate optimization suggestions based on the results.

Applicable Scenarios

Suitable for software development teams that need to quickly locate code issues, improve code quality, and conduct automated testing.

Main Features

Pylint Code Quality Check
Detect code style, potential errors, and performance issues, and generate intelligent optimization suggestions.
Pytest Unit Testing
Automatically run unit tests and report failed cases to help identify logical errors.
Comprehensive Check
Perform both Pylint and Pytest checks simultaneously to provide comprehensive code quality feedback.
Advantages
Improve code quality and maintainability
Support multiple custom parameters to meet specific needs
Ensure that all operations are performed within the specified project directory
Integrate an AI assistant for efficient collaboration
Limitations
Require the installation of a Python environment and related dependencies
May take a long processing time for complex projects
Some advanced features require manual configuration

How to Use

Install the MCP Code Checker
Clone the code repository, create a virtual environment, and then install the necessary dependencies.
Start the Server
Specify the project directory and run the server module.
Connect the AI Assistant
Add the server address and parameters to the Claude configuration file.

Usage Examples

Run Pylint Check
Execute a Pylint check to identify code style issues.
Run Pytest Check
Run unit tests to verify logical correctness.

Frequently Asked Questions

How to ensure that the server only accesses the specified project directory?
Does it support custom Pylint rules?

Related Resources

MCP Official Documentation
Understand the basic knowledge of the MCP protocol.
GitHub Code Repository
View the source code and the latest version.

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "code_checker": {
            "command": "C:\\path\\to\\mcp_code_checker\\.venv\\Scripts\\python.exe",
            "args": [                
                "C:\\path\\to\\mcp_code_checker\\src\\main.py",
                "--project-dir",
                "C:\\path\\to\\your\\project",
            "--python-executable",
            "C:\\path\\to\\python.exe",
            "--venv-path",
            "C:\\path\\to\\venv"
            ],
            "env": {
                "PYTHONPATH": "C:\\path\\to\\mcp_code_checker\\"
            }
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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